to_geography

Important

This feature is in Public Preview.

Parses the input BINARY or string value and returns the corresponding Geography value. An error is thrown for invalid input.

For the corresponding Databricks SQL function, see to_geography function.

Syntax

from pyspark.sql import functions as dbf

dbf.to_geography(col=<col>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	A string value in WKT or GeoJSON format, or a BINARY value in WKB format representing a Geography value.

Examples

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('POINT Z (3 4 5)',)], ['wkt'])
df.select(dbf.st_asewkt(dbf.to_geography('wkt')).alias('result')).collect()

[Row(result='SRID=4326;POINT Z (3 4 5)')]

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('{"type":"MultiPoint","coordinates":[[3,4,5]]}',)], ['geojson'])
df.select(dbf.st_asewkt(dbf.to_geography('geojson')).alias('result')).collect()

[Row(result='SRID=4326;MULTIPOINT Z ((3 4 5))')]

from pyspark.sql import functions as dbf
df = spark.createDataFrame([(bytes.fromhex('01ef0300000100000001e9030000000000000000084000000000000010400000000000001440'),)], ['wkb'])
df.select(dbf.st_asewkt(dbf.to_geography('wkb')).alias('result')).collect()

[Row(result='SRID=4326;GEOMETRYCOLLECTION Z (POINT Z (3 4 5))')]